Extracellular volume fraction mapping using ShMOLLI showed significantly higher diagnostic performance than MOLLI for detecting severe myocardial fibrosis (AUC 0.96 vs 0.88).
Does cardiac MRI T1 and ECV mapping accurately detect myocardial fibrosis compared to histopathology in a swine model of chronic MI?
Cardiac MRI T1 and ECV mapping, particularly using ShMOLLI, accurately quantifies severe myocardial fibrosis in a swine model of chronic MI when validated against histopathology.
Absolute Event Rate: 0.96% vs 0.88%
Purpose To histologically validate T1 mapping for quantitative assessment of mild-to-severe myocardial fibrosis in a swine model of chronic myocardial infarction (MI). Materials and Methods In this animal study conducted from June 2021 to July 2022, 18 male miniature swine (16 MI animals; two healthy control animals) underwent cardiac MRI, including cine imaging, late gadolinium enhancement (LGE) imaging, T1 mapping, and extracellular volume fraction (ECV) mapping. Two T1 mapping techniques, modified Look-Locker inversion recovery (MOLLI) and shortened MOLLI (ShMOLLI), were evaluated. Pathologic myocardial slices were categorized as infarcted, peri-infarct, remote, and healthy based on triphenyl tetrazolium chloride staining. Fibrosis was quantified using collagen volume fraction (CVF) and classified as severe (CVF, ≥30%), moderate (CVF, >15%-30%), or mild (CVF, 3%-15%). Associations between cardiac MRI parameters and CVF were assessed, and diagnostic performance in detecting myocardial fibrosis was evaluated using the area under the receiver operating characteristic curve (AUC). Results For detection of severe fibrosis, LGE, T1 mapping, and ECV all demonstrated excellent diagnostic performance (AUC range, 0.88-0.96). ECV using ShMOLLI showed significantly higher performance than ECV using MOLLI for detecting severe fibrosis (AUC, 0.96 vs 0.88;
Zhang et al. (Wed,) conducted a other in Chronic myocardial infarction and myocardial fibrosis (n=18). Extracellular volume fraction (ECV) mapping using ShMOLLI vs. ECV mapping using MOLLI was evaluated on Diagnostic performance for detecting severe myocardial fibrosis (AUC). Extracellular volume fraction mapping using ShMOLLI showed significantly higher diagnostic performance than MOLLI for detecting severe myocardial fibrosis (AUC 0.96 vs 0.88).